Photoelectro-Fenton combined with photocatalytic process for degradation of an azo dye using supported TiO2 nanoparticles and carbon nanotube cathode: Neural network modeling
作者： M. Zarei , A.R. Khataee , R. Ordikhani-Seyedlar , M. Fathinia
DOI: 10.1016/J.ELECTACTA.2010.07.050
关键词: Anatase 、 Specific surface area 、 Particle size 、 Photocatalysis 、 Anode 、 Carbon 、 Cathode 、 Materials science 、 Inorganic chemistry 、 Chemical engineering 、 Aqueous solution
摘要: Abstract In this work, treatment of an azo dye solution containing C.I. Basic Red 46 (BR46) by photoelectro-Fenton (PEF) combined with photocatalytic process was studied. Carbon nanotube–polytetrafluoroethylene (CNT–PTFE) electrode used as cathode. The investigated photocatalyst TiO 2 nanoparticles (Degussa P25) having 80% anatase and 20% rutile, specific surface area (BET) 50 m /g, particle size 21 nm immobilized on glass plates. A comparison electro-Fenton (EF), UV/TiO , PEF PEF/TiO processes for decolorization BR46 performed. Results showed that color removal follows the decreasing order: > PEF > EF > UV/TiO . influence basic operational parameters such initial pH solution, concentration, anode, applied current, kind ultraviolet (UV) light Fe 3+ concentration degradation efficiency mineralization total organic carbon (TOC) measurements 98.8% 20 mg/l at 6 h using process. An artificial neural network (ANN) model developed to predict solution. findings indicated provided reasonable predictive performance ( R = 0.986).
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